Computational disease progression modeling can provide insights into cancer evolution
Oncoscience
.
2020 May 1;7(3-4):21-22.
doi: 10.18632/oncoscience.501.
eCollection 2020 Mar.
Authors
Steve Goodison
1
,
Mark E Sherman
1
,
Yijun Sun
2
3
4
Affiliations
1
Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA.
2
Department of Microbiology and Immunology, The State University of New York, Buffalo, NY, USA.
3
Department of Computer Science and Engineering, The State University of New York, Buffalo, NY, USA.
4
Department of Biostatistics, The State University of New York, Buffalo, NY, USA.
PMID:
32426418
PMCID:
PMC7217135
DOI:
10.18632/oncoscience.501
No abstract available
Keywords:
breast cancer; disease progression; machine learning.